Deep learning approach has been utilized in dental age determination from dental radiographs. In this study, several deep learning models were employed to predict age from a dataset of dental ...

Estimation of age of any sample (non-living) or living, comes into play in multiple domains. For instance, archaeological research involves age estimation of the excavations. In case of accidents and ...

Most Australian adults are confused about what ultra-processed foods (UPFs) are and often misidentify them based on packaging cues. The study highlights strong support for better labelling and public ...

Add a description, image, and links to the age-group-classification topic page so that developers can more easily learn about it ...

Seniors are the fastest-growing age group in the Bay Area, and nationwide The Bay Area’s struggles with cost of living and an aging population are behind the trend ...

Seniors are the fastest-growing age group in the Bay Area, and nationwide The Bay Area's struggles with cost of living and an aging population are behind the trend ...

Kim YR, Choi JH, Ko J, Jung Y-J, Nam S-H, Chang W-D. Age group classification of dental radiography without precise age information using convolutional neural networks.